94 results found

1. Ability to scale Kafka cluster without upgrade

   As a Kafka Administrator
   I want to ahve ability to scalse Kafka clsuter without upgrade, that increses time of scale.
   In production this can become critical and lead to downtime. For example last 2 times the scale lasted for 12 hours.

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   Gathering Interest  ·  0 comments  ·  Aiven for Apache Kafka®  ·  Delete…  ·  Admin →
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2. kafka_connect_connector_metrics availability over Prometheus

   Our customer Jago wants to monitor the status of connectors and tasks but currently can't find relevant metrics to do so. They want to be able to monitor the status of connectors and tasks on a dashboard and also get notified whenever a connector has not been running for X minutes.

   Jago has a connector running but can not find the metrics for kafka.connect:type=connector-metrics,connector=*.

   The specific metrics they are looking for is the one related to the status of a connector. For example, in the customers current self-managed kafka connect, they have the following metrics. This is convenient because they can get notified whenever a connector is not running.
   kafkaconnectconnector_metrics{status="running",connector="lfs-source-kafka-notifications",} 1.0

   They are also facing a similar issue with task status as they don't see metrics for it, while on their current cluster has:
   kafkaconnectconnector_status{connector="lfs-source-kafka-notification-created",status="running",task="0",} 1.0

   They have shared the attached metrics txt related to that connector that they got from prometheus.

   Our customer Jago wants to monitor the status of connectors and tasks but currently can't find relevant metrics to do so. They want to be able to monitor the status of connectors and tasks on a dashboard and also get notified whenever a connector has not been running for X minutes.

   Jago has a connector running but can not find the metrics for kafka.connect:type=connector-metrics,connector=*.

   The specific metrics they are looking for is the one related to the status of a connector. For example, in the customers current self-managed kafka connect, they have the following metrics. This is convenient because they… more

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   Gathering Interest  ·  1 comment  ·  Aiven for Apache Kafka®  ·  Delete…  ·  Admin →
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3. Aiven's S3 sink connector - Configure `offset.flush.interval.ms` on the connector's level

   As a developer that uses Aiven's S3 sink connector,
   I want to be able to set the offset.flush.interval.ms only for my specific connector from the connector's configuration
   so that I can avoid configuring it in the cluster level (for all connectors).

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   Gathering Interest  ·  0 comments  ·  Aiven for Apache Kafka® Connect  ·  Delete…  ·  Admin →
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4. A no-code solution for Flink to unlock the usage for non-technical users

   As a non-technical user
   I want to be able to aggregate and join different streams of data
   without the need of developers

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   1 comment  ·  Aiven for Apache Flink®  ·  Delete…  ·  Admin →
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   Shelved  ·  Jonah Kowall responded

   This function will largely be replaced by ChatGPT or other LLMs which can generate clear code and instructions, making a visual builder unnecessary. 

5. Event log should show when a connector is paused and resumed.

   As a developer
   I want to know when a connector is paused or resumed
   so that I can have timestamps and know if anybody is doing what they are not supposed to do.

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6. Decompression transform for Connectors

   As an application developer
   I want to compress my kafka messages, but be able to decomrpess them using a transform before sinking them into a destination
   so that I can save on storage costs
   In addition, I'd like to use ZTSD, but more common libraries might be enough.

   Note, Confluent has something similar :
   https://docs.confluent.io/platform/current/connect/transforms/gzipdecompress.html

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7. Support S3 as a source and sink for Flink

   As a developer I want to be able to read and write data to my S3 object storage, in order to simply integrate Flink into my existing data architecture. Using Flink to read data from S3, transform it, and then write to another S3 location allows easy consolidation and data quality management in a common reference data architecture.

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   Shelved  ·  0 comments  ·  Aiven for Apache Flink®  ·  Delete…  ·  Admin →
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8. Automated dynamic quota configuration

   As a Cloud platform engineer, I need to have an automated way to set up and update quota configurations on a cluster, taking into account changes in resources consumption patterns amongst producers and consumers.

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9. Field Level Encryption Support for Aiven Products

   TL;DR;
   As Aiven Customer
   I want to be able to be able to encrypt any form of sensitive data (PII or PCI) so that I can manage sensitive data in a legally compliant and user-privacy respectful manner.

   Detailed description of the proposal:
   Hi Aiven!
   Hope all is well with you. I have a feature/service suggestion which I believe will make your existing product portfolio even stronger!

   It’s a thing I call “Aiven for Privacy FTW!” and it’s basically a standalone “field-level-encryption” service used for managing of PII and PCI fields/properties in the event payload in legally (eg. GDPR and/or CCPA) and secure manner (ie. sensitive data encrypted in transit and at rest).

   I made a following high-level architecture/component diagram with aim to visualize how would “Aiven for Privacy FTW!” fit together with your products and within client context. See attached.

   After drawing and discussing this internally, I realized that it would be even better if this is a stand-alone service that can be instantiated and run fully within the client context and manage sensitive fields/properties even before event enters Aiven managed services. This way, the sensitivity will be fully managed and stay within the client/producer control and will not pollute your services with sensitive data.

   Why should you consider this? I’d like to claim that you’re in unique position in the industry with a portfolio of solutions that can be connected fully end-to-end from event producer to consumer and with this type of functionality you’ll be able to provide a turn-key solution to all your clients.

   Nothing here is new, tbh. There is no novelty here and others are doing/offering something similar already, but no one is giving a full package solution with privacy compliance being made a first class citizen. You could.

   Example of others doing stuff in this area:
   - Snowflake allows their customers to use external tokenizers to unlock/show sensitive data based on the access privilege: https://docs.snowflake.com/en/user-guide/security-column-ext-token-intro
   - MongoDB is offering their clients ability to encrypt sensitive data on the client side using: https://www.mongodb.com/docs/manual/core/csfle/
   - Conduktor provides encryption all the way down to field/property level: https://www.conduktor.io/encryption/

   In all these cases (at least MongoDB and Snowflake), “Aiven for Privacy FTW!” if it becomes a thing could be used if done as a stand-alone service. So, it could strengthen your position further in the industry.

   I hope you will consider this and feel free to contact me either directly or through our Aiven KAM, Hanna Behr, if you want to talk more about this.

   Thanks,
   Srdjan B. (Eng. Director, Sinch SaaS App Platform)

   TL;DR;
   As Aiven Customer
   I want to be able to be able to encrypt any form of sensitive data (PII or PCI) so that I can manage sensitive data in a legally compliant and user-privacy respectful manner.

   Detailed description of the proposal:
   Hi Aiven!
   Hope all is well with you. I have a feature/service suggestion which I believe will make your existing product portfolio even stronger!

   It’s a thing I call “Aiven for Privacy FTW!” and it’s basically a standalone “field-level-encryption” service used for managing of PII and PCI fields/properties in the event payload in legally (eg. GDPR and/or CCPA)… more

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   Shelved  ·  Jonah Kowall responded

   I will be closing this out, but the idea is valid. We are looking at building a proxy service for Kafka and this could be in part of the roadmap for that component as you have described. We suggest for those who want to use encryption on Kafka to do this on the producer and consumer sides as the data would be encrypted from end to end. 

10. io.debezium.transforms.partitions.PartitionRouting

    It would be great it the io.debezium.transforms.partitions.PartitionRouting SMT was available for use when configuring a Kafka Debezium source connector on the Aiven platform.

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11. Expose MirrorMaker 2 replication.policy.separator property

    As a devops developer
    I want to change the replication policy separator
    so that I can use our existing topic separators without conflicting with MM2.
    In addition, I find it extremely inconvenient to have to change our existing schema because we cannot configure the replication.policy.separator in MM2.

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    Gathering Interest  ·  Mykhailo Lieibenson responded

    We can see it as useful configuration to expose. At the same time it will need to gather a bit more interest to be taken in to development. 

    Thanks!

12. Support for schemaless JSON messages in the Big Query Sink connector

    As a developer
    I want to be able to publish schemaless JSON messages to Big Query and have the BigQuery schema be updated to reflect those changes
    so that I can evolve my message schema without breaking my pipeline.

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13. Rockset Sink connector for Kafka Connect

    As a data engineer,
    I want to write data to Rockset,
    so that I can run my analytical workloads.

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14. Apache NiFi Source and Sink Kafka connector

    As a developer
    I want to use Apache NiFi Kafka Connector
    so that I can move data in and out Apache NiFi to orchestrate data flow.

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